Discrimination of Drinks with a Novel Sensing System Detecting Electrochemical Nonlinearity

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Abstract
We propose a novel strategy for the development of a chemical sensor based on the information of electrochemical nonlinearity. A sinusoidal voltage is applied to a test solution and the resulting output current is analyzed by the Fast Fourier transformation (FFT). From the higher harmonic components in the FFT, voltage dependences of both capacitance and conductance are evaluated. This method may become a powerful analytical tool with the selection of suitable metal electrodes.